gammacap_ols_hc: Asymptotic Covariance Matrix for Ordinary Least Squares...

In jeksterslab/gammaMatrix: Asymptotic Covariance Matrix of Covariances

Description

Asymptotic Covariance Matrix for Ordinary Least Squares Regression with Sandwich Type Adjustments

Usage

gammacap_ols_hc(
  x,
  type = "hc5",
  g1 = 1,
  g2 = 1.5,
  constant = 0.7,
  names = TRUE,
  sep = "."
)

Arguments

x	Object. Object of class lm.
type	Character string. Correction type. Possible values are "hc0", "hc1", "hc2", "hc3", "hc4", "hc4m", and "hc5".
g1	Numeric. g1 value for type = "hc4m" or type = "hc5".
g2	Numeric. g2 value for type = "hc4m".
constant	Numeric. Constant for type = "hc5"
names	Logical. Add names.
sep	Character string. Separator for variable names.

Value

A matrix

Author(s)

Ivan Jacob Agaloos Pesigan

References

Dudgeon, P. (2017). Some improvements in confidence intervals for standardized regression coefficients. Psychometrika, 82, 928-951. doi:10.1007/s11336-017-9563-z.

See Also

Other Gamma Matrix Functions: gammacap_adfnb(), gammacap_adf(), gammacap_gen(), gammacap_mvnadj1(), gammacap_mvnadj2(), gammacap_mvn(), gammacap_nb(), gammacap_ols_generic(), gammacap_ols_hc_generic(), gammacap_ols_hc_qcap_generic(), gammacap_ols_hc_qcap(), gammacap_ols(), gammacapnames(), gammacap()

Examples

set.seed(42)
n <- 1000
k <- 2
z <- matrix(
  data = rnorm(n = n * k), nrow = n, ncol = k
)
q <- chol(
  matrix(
    data = c(1.0, 0.5, 0.5, 1.0),
    nrow = k, ncol = k
  )
)
x <- as.data.frame(z %*% q)
colnames(x) <- c("y", "x")
obj <- lm(y ~ x, data = x)

gammacap_ols_hc(obj)

jeksterslab/gammaMatrix documentation built on Dec. 20, 2021, 10:10 p.m.